Premera Blue Cross

AI Engineer IV

Premera Blue Cross

full-time

Posted on:

Location Type: Remote

Location: Remote • Alaska, Arizona, California, Colorado, Florida, Idaho, Iowa, Kansas, Kentucky, Maine, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin • 🇺🇸 United States

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Salary

💰 $128,400 - $231,100 per year

Job Level

Mid-LevelSenior

Tech Stack

CaffeCloudMicroservicesNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Recommend and develop comprehensive systems and frameworks for AI applications and products.
  • Pitch concepts to team leadership and then lead construction of prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources.
  • Assist in designing and implementing the cloud architecture of large multi-faceted AI systems.
  • Assist in the design and scaffolding of robust data pipelines that drive large complex AI systems.
  • Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications.
  • Develop the code for monitoring models and AI systems that ensure consistent and reliable performance.
  • Actively participate in a team that exercises principled, agile-like development practices.
  • Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations.
  • Ensure peer review on all assigned work as well as conduct peer reviews over the work of others as requested.
  • Guide AI engineers on AI/ML and industry best practices and methodologies.
  • Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development.
  • Advise team and division leadership on matters such as enterprise AI strategies, AI related technology strategies and roadmaps, and AI related infrastructure strategies and roadmaps.
  • Meet and collaborate with external stakeholders to conceptualize AI solutions that realize business value while ensuring AI governance adherence, AI best practices, and data quality.
  • Provide thought leadership to the Premera AI community.

Requirements

  • Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position.
  • Minimum of 5 years of industry experience in developing, deploying, and maintaining AI or ML systems.
  • Up to two years of industry experience may be substituted with an AI centered Master’s/PhD or AI Engineering certifications.
  • At least 6 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks.
  • Previous experience with older libraries like Theano or Caffe is also accepted.
  • Experience with design patterns and microservices architecture, including at least 3 years with container orchestration in a production environment.
  • Knowledge of and experience in implementing ethical AI practices, with at least 3 years spent working on projects that require explainable AI, fairness, and bias mitigation.
  • At least 3 years of expertise in implementing advanced techniques like Retrieval Augmented Generation, Tree of Thoughts, or Multimodal CoT in prompt engineering projects.
  • Experience in leading prompt engineering teams, conducting code reviews, and setting best practices for prompt engineering within the organization is also essential.
  • Minimum of 4 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
  • At least 5 years working within Agile-like teams and environments.
  • Proven experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs).
  • Proven experience debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques.
  • Knowledgeable about software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.
  • Adept software engineering skills as well as skills building secure, stable software systems at scale.
  • Proven experience developing and optimizing ML solutions using languages like Python and libraries such as NumPy, Pandas, Matplotlib and scikit-learn.
  • Familiarity working with traditional ML lifecycles.
  • Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny.
  • Proficient at ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations.
  • Strong communication, collaboration, and mentorship skills.
  • Ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner.
Benefits
  • Medical, vision, and dental coverage with low employee premiums.
  • Voluntary benefit offerings, including pet insurance for paw parents.
  • Life and disability insurance.
  • Retirement programs, including a 401K employer match and a pension plan that is vested after 3 years of service.
  • Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs.
  • Generous paid time off to reenergize.
  • Tuition assistance for both undergraduate and graduate degrees.
  • Employee recognition program to celebrate anniversaries, team accomplishments, and more.
  • On-campus model provides flexibility with access to on-site resources, networking opportunities, and team engagement.
  • Commuter perks make your trip to work less impactful on the environment and your wallet.
  • Free convenient on-site parking.
  • Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.
  • Engage in on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs, and more.
  • Fitness & well-being center offers in-person and virtual workouts and nutritional counseling.
  • Games like shuffleboard or ping pong available on campus.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI applicationsML systemsdeep learning modelsTensorFlowPyTorchMLXJAXdata pipelinesAPIsmonitoring systems
Soft skills
communicationcollaborationmentorshipleadershipagile developmentdocumentationpeer reviewthought leadershipconceptualizationskills development
Certifications
AI Engineering certificationsMaster’s in AIPhD in AI